Toxicity of binary mixtures of copper, lead, and glyphosate on neuronal cells DOI Creative Commons

Clancy Collom,

Sahar H. Pradhan, James Y. Liu

et al.

Journal of Hazardous Materials Advances, Journal Year: 2023, Volume and Issue: 11, P. 100355 - 100355

Published: Aug. 1, 2023

Regulations for contaminants are primarily based on isolated exposures to an individual toxicant. This practice does not account interactions that may happen between toxicants. The assessment of chemical mixtures ought be routinely studied better understand the risks human health, yet no standard protocol exists. study provides a framework focusing complex toxicants and how can affect potential regulatory shift. work evaluates binary environmental contaminants, lead(II) acetate, copper(II) nitrate, glyphosate, against neuronal brain cell model (SH-SY5Y) by comparing concentration addition (CA) experimental cytotoxicity values. Binary mixture effects were identified interpreted using interaction index isobologram. Isobolograms developed visualize comparative data. Against model, EC50 values composed copper-lead copper-glyphosate showed antagonistic responses with indices greater than one. lead-glyphosate produced additive within 95% confidence interval These results, along mechanism elucidations, illustrate complexity toxicology need further studies emphasizing comparisons prediction modeling results.

Language: Английский

Perspective on neonicotinoid insecticides in human exposure and risk assessment DOI Open Access

Shaofang Song,

Yuhan Yue,

Qiaoli Jiang

et al.

Journal of Environmental Exposure Assessment, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 19, 2025

This perspective presents first-hand research insights into the pervasive environmental distribution of neonicotinoid insecticides (NEOs) and their consequent human exposure. Our findings reveal widespread NEO detection across biological matrices, indicating potential health risks highlighting critical gaps in current risk assessment paradigms. We identify an urgent need for longitudinal epidemiological studies, particularly focusing on vulnerable populations, to comprehensively assess NEO-related outcomes. These scientific should inform evidence-based policy reforms management strategies effectively protect both public integrity.

Language: Английский

Citations

0

Mechanistic and predictive insights into biodegradation mechanism of Neonicotinoid insecticides by Cytochrome P450 enzymes: N-dealkylation mechanism DOI
Zijian Wang, Ruiming Zhang, Xin Zhang

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145116 - 145116

Published: Feb. 1, 2025

Language: Английский

Citations

0

Multilayered amidated polymer of intrinsic microporosity for gel polymer electrolyte in lithium metal batteries DOI
Haoran Zou, Yue Wang, Xiyuan Li

et al.

Journal of Membrane Science, Journal Year: 2023, Volume and Issue: 685, P. 121939 - 121939

Published: July 15, 2023

Language: Английский

Citations

9

Transformation of graphene oxide affects photodegradation of imidacloprid in the aquatic environment: Mechanism and implication DOI

Mengzhu Xue,

Peiyao Li, Chang Li

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 879, P. 163108 - 163108

Published: March 30, 2023

Language: Английский

Citations

7

Toxicity of binary mixtures of copper, lead, and glyphosate on neuronal cells DOI Creative Commons

Clancy Collom,

Sahar H. Pradhan, James Y. Liu

et al.

Journal of Hazardous Materials Advances, Journal Year: 2023, Volume and Issue: 11, P. 100355 - 100355

Published: Aug. 1, 2023

Regulations for contaminants are primarily based on isolated exposures to an individual toxicant. This practice does not account interactions that may happen between toxicants. The assessment of chemical mixtures ought be routinely studied better understand the risks human health, yet no standard protocol exists. study provides a framework focusing complex toxicants and how can affect potential regulatory shift. work evaluates binary environmental contaminants, lead(II) acetate, copper(II) nitrate, glyphosate, against neuronal brain cell model (SH-SY5Y) by comparing concentration addition (CA) experimental cytotoxicity values. Binary mixture effects were identified interpreted using interaction index isobologram. Isobolograms developed visualize comparative data. Against model, EC50 values composed copper-lead copper-glyphosate showed antagonistic responses with indices greater than one. lead-glyphosate produced additive within 95% confidence interval These results, along mechanism elucidations, illustrate complexity toxicology need further studies emphasizing comparisons prediction modeling results.

Language: Английский

Citations

7